{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c3676f94-7f74-495b-a6b8-62026b0e73d9",
   "metadata": {},
   "source": [
    "## 蝴蝶图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6b375c13-4f2b-4597-8c65-4da5465c02e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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srP73v/9p27ZtysjI0D333KNq1aopNDRU48aN09atW0vdnnS+py4lJUX+/v5av369ZsyYccl1Ctt6MX9/f/n4+CghIUExMTG67777HMp///13syewcGTAkydPmsGxX79+DtPs2bOL3c6yZcv03//+1+FWvkmTJik+Pt78nJSUpMcee6zYUNqyZUt9+umn5u2BXbt2lSS98sormjVrljnAiRUXfmc333yz5fUB4GqgRwoArpJp06Zpy5Yt+uGHH8wRx2666aYiL4QtHEXvQoZhaNiwYfL09NTs2bMtbTczM1MuLi5yd3e/ZO9Vofz8fOXm5joMsW3F8ePHFRQUVGR+SftR+OzOsWPHHC58T58+bfaUFDp58qTCw8N1//33a8SIEcVu/6mnntLx48f1v//9z2GfMzIyzH0q67HIzc1Vbm6ufHx8tH//foWFhWnfvn0KCQlRt27d9Pbbb5ttPnr0qGrUqKGZM2fqueee0/r16/Xzzz9r3rx5pb7zSTp/e1r37t3VsGFDrVy5Us8++6wiIiJ08uRJh2fDysowDDVo0ECbNm1SYmJikSDVo0cPs7fvoYceUm5ursaNG6f+/ftLknnLZKH169dr5cqVRbbj4eGhuLg4h17OtLQ0LV++3BwVMCsrS66uriX2znXp0kW1a9dWamqqjh49qvr166tv376qXbu2pk+frrffftvy/gOAsxGkAOAq2LBhg1544QW99tpr6tChgzm/Xbt22rJli8Mw4zt27FCtWrUc1v/Pf/6jb7/9Vhs2bDCfGSmre+65R9u3b5fNZpO7u7s2bdrkMHR6Tk6OHn30UY0aNcqcVzjYwuLFizVkyBAdOXJEKSkp8vT0LDGAFL5r6bbbblNycrLuuuuuIsuUtB/16tXTzTffrC1btpjDjBuGoZ07d6pLly7mcna7XYMGDZJ0/laz4i7MFy9erPnz5+vjjz92uAUvOzvb7L1ydXWVm5ub+bxP4fYk6dZbb3Wot3Ao9yNHjujWW2/VM888o3bt2snf31/16tVzGPb8Yu3bt9dPP/1k3kJXkq1bt+of//iHbrnlFq1atUo+Pj5asGCBfH19NWXKFFWrVk0RERHFrpuVlaVTp05JOv9s24Xzb7/9ds2cOVPt27c3w2qh/fv3Szrfm/XTTz+Zw4HHxMRIknr27Omw/B9//FFskMrJyVGTJk0cguKzzz6rf/zjH2rZsqUkad++fZo2bZoMwyj2O5s+fbpcXV3VuXNnDR06VJs2bZKLi4tefvnlIs+9lcXp06cdBugAAGcgSAHAFYqNjVW/fv3MW7wu1K9fPw0ePFi//vqrbrvtNiUlJemrr75y+Ov+0qVL9corr+iNN95Qp06dLG9/8+bNcnV1LTEAXfyMVKHC2/Qk6Z133tHbb79d7K2Ihex2u2rUqKGDBw/q6NGjDgMZXGo/XFxc1LdvX82ePVuPPPKIfH19tXz5cp04ccJ8hkmSHn/8cf3www/6/vvvi73A/v777/Xoo4/qiSee0IABAxzKvLy8lJOTI3d392Iv5gufkYqPj3cYZVE6HywLj19hT82JEycknX8RcnHvJHr55Zf1/fffS1KJIercuXN68skntXDhQg0dOlTz5s1zeIHsW2+9pT///FNbtmzRU0895dDu3NxcJSQkKCgoSAsXLjS/K0lmYOnatasWL16s5557rtjtXyg1NdXhGbULR8WTzn+/xfUyDhkyRG3btjVHybtw+cJ5ISEhWrBggQoKCoqcP1u2bNGrr76q//3vf2rWrJkaN26st956S88884yGDBlyyXZfKDMzUzNmzND06dP1448/FrtMWlqaPDw8zAFIAOBaIUgBwBXIy8tTv379ZLPZ9OSTT2rHjh1mWYMGDRQWFqY77rhDd999t3r37q1169apevXqevTRRyVJBw4c0PDhw3XnnXeqU6dOio6ONtdv0aKFw0V3SS7n1jzJ8YWvr7/+epke+pek9PR0paamOozUV5b9GDdunJYtW6Y77rhDbdu21SeffKI+ffqYPVQfffSR5s+fr9GjR8vNzc2sw9PTU7fddptOnz6t/v37q06dOho4cKDDNm699VZVrly5TMerOMWF0LIc10s9h+Xj46OuXbuqXbt2RW6lK7RgwQK5ubmZ38XJkyf1yCOPaM2aNbrzzjv1xBNPqGfPnjIMQzt27NDKlSu1dOlSxcbGaufOnZLO336XkZGht99+W2PHji1yHFasWKG5c+eavVGSiozM+P7772vKlCkO806fPq1BgwbJy8vLYV/T0tL0xRdfaN26dZLOB7vs7Gz5+fmZtw5K0saNGxUWFqYXXnjB7E179dVXFRkZqSeeeKJMxzg7O1t5eXmaPn263njjDeXk5OjJJ58sNvRJ0ueff65nn31W27ZtU6NGjS5ZPwBctnJ4VxUA3LB27txZ4gtFC18Ueu7cOWPcuHFG69atjUGDBhlHjhwx13/zzTdLXP/iF8du3LixxBfyliYgIMB4//33r2Q3Hfz444+GJGP//v3mvLLuR1JSkjFo0CCjdevWxsSJE43MzEyz7O9//3ux6xe+jHXFihUlbqPwZbml2b17t/mi5LI4deqUIcn49ttvjSNHjhSZIiIijHvuuafYdZs1a2Y8//zzRlZWVpmmzMxM48yZM0ZeXp5hGIYxcuRI46effjLrGzVqlFGtWjWjcuXKRnh4uPHtt98aH330keHp6WmMGDHCqFatmvHvf//b8Pf3d3i5b1xcnCHJqFatmrFixQqH43ChtLQ0Y8KECUbDhg0d5tvtdiM5OdnhRcuGYRhBQUHG119/bX4uKCgwsrOzHV6M/Ntvvxmenp7GE0884bBufn6+wzmRkpJi7Nq1y/jHP/5hNG/evMixfOCBBwxJRkBAgPHKK68YZ86cMctq165tDBo0yIiNjTXi4uKMX3/91Wjfvr1x8803G/n5+cV+NwBwtRCkAOAG5+PjYyxYsOCK6khOTjaGDBli9O/f36hZs6bRsGFDw263X6UWlo9ffvnFkGQcOHCgTMsfP368xOBWOHXs2LHYdW+55ZZLrlvctGvXrmLrW7p0qfHee+8ZGRkZhmEYxuTJkw03Nzfjv//9r2G3241HH33UkGS8/vrrDusdPHjQ6Nq1q/H777+b87Zt21YkSN19992Gp6enMWnSJHPe+++/bwQGBhq33HKLceuttzpMgYGBRv369YvMr1WrltGuXTuzjh9//PGSx/n77783g9K8efOKlK9fv94YMWKEcfr06SJlr732muHt7e1wDAMDA83QCADXks0wLrjpGgBww/H09NQbb7yhf//731dUzz/+8Q9lZGSoTZs2euyxx667Yae3bt2qDh06lPjM08XsdruOHDmi2rVrX/btk2VVUFBgvhupLKMN7tixQ/v27XN4D9Xhw4dLvN3tUlJSUlS5cuUSh8W/1uLi4tS4cWNepgvgukKQAgAAAACLeCEvAAAAAFhEkAIAAAAAiwhSAAAAAGARQQoAAAAALOKFvDo/WtKxY8dUuXJlRgwCAAAA/sIMw9DZs2dVq1atUkdSJUhJOnbsmOrWrevsZgAAAACoII4cOaI6deqUWE6QklS5cmVJ5w+Wn5+fk1sDAAAAwFnS09NVt25dMyOUhCAlmbfz+fn5EaQAAAAAXPKRHwabAAAAAACLCFIAAAAAYBFBCgAAAAAs4hkpAAAAoASGYSg/P192u93ZTcFV4urqKjc3tyt+7RFBCgAAAChGbm6ujh8/rszMTGc3BVeZt7e3br75Znl4eFx2HQQpAAAA4CIFBQVKTEyUq6uratWqJQ8PjyvuwYDzGYah3NxcnTx5UomJiWrYsGGpL90tDUEKAAAAuEhubq4KCgpUt25deXt7O7s5uIoqVaokd3d3HT58WLm5ufLy8rqsehhsAgAAACjB5fZWoGK7Gt8rZwYAAACAK2YYhrObUK64tQ8AAADAFTl16pSaN2+u2bNnq2/fvmVaJyoqSkePHtWMGTMkSadPn1ZgYKCOHj2q2267TampqcrKypJ0/na8QgMHDtTu3btVo0aNInUahqEff/yxXEZZJEgBAAAAFkTuSinX7U1oXc3S8itXrlRERIR+//13tWnTRosWLVKTJk0UExOj8PBwHTx4UMOHD9f06dPNATRKWudSZYUiIyPl7e2tBx54oEh7DMNQXl6ebDab3N3dJUnnzp3T9OnT9frrrys3N1c2m0133323Jk+erE6dOsnT01OSNG/ePK1YsUI//PCDWV+lSpVUUFCg/Pz8Yvf/cp95sopb+wAAAIAbxKFDhxQeHq7IyEglJycrKChIw4cPV05Ojnr37q02bdooOjpasbGxWrRoUanrXKqs0N69e/XOO+/Ix8dH7dq1U6tWrVSpUiWFhISoVatWatGihZo3b653333XXOexxx7TuXPnFBERoerVq2vlypWaNm2annzySbM3KTU1VdOmTdPkyZMdtme32zVo0CBFRUUVmaZNm1ZiwLra6JECAAAAbhBxcXGaMmWK+vfvL+l8YOnZs6dWr16ttLQ0vfnmm/L29taUKVM0evRohYeHl7hOafUVOnfunAYOHKiBAweawUySWrVqpaioKHXr1q1IGz/77DN9//33io+PV506dcz5+fn5WrFihXJzc83nrRYuXKj27ds7rP/AAw/o119/1apVq4o9BuPGjbN62C4LQQoAAAC4QYSGhjp8jo+PV0hIiPbs2aN27dqZQ7m3aNFCsbGxpa5zqbK8vDw99NBDysvL08yZM4ttT0FBgex2u3Jzc+Xj4yNJeuihhxQfH6+77rpLLi4uysrK0tGjR/Xpp58qIiJCzZs312233aaHH35YBw8e1IABAxQZGan//Oc/Wr58ufz8/My6imO329W6dWs1adJES5cuLeuhs4wgBQAAANyAcnNzFRUVpYiICCUkJKhBgwZmmc1mk6urq1JTU1WlSpVi1ymtPklyc3NTRESE6tatq9atW8vFxcUMavHx8Ro5cqR8fHxkt9sVEBCgLVu2mNseN26catasqa1bt+qdd96Rq6urPD09dffdd2vZsmXmNidMmGA+L/Xiiy/qxRdf1Oeff67jx4+Xuu/h4eGlhq2rgWekAAAAgBvQpEmT5OvrqxEjRsjNzc0MJIW8vLyUmZlZ4jql1SedD0Q9evRQ06ZN5eXlpcWLF2v37t3avXu3br31Vs2bN0979+7Vb7/9ZoaoQp9//rl27typxMREffHFF/r555/l4uKiNWvWqHnz5ub03//+1xwQo9Ds2bOVnJysOnXqqE6dOnrjjTdks9nMz08//bSys7OvxiEsFT1SAAAAwA1m/fr1mjt3rrZt2yZ3d3cFBgYqJibGYZmzZ8/Kw8OjxHVKq086f9ueYRhydXUt0wtu7Xa7XFxcZLPZdPjwYaWkpOjs2bNKTExUYGCgJKlnz55FeqQu5uLiopUrV2rz5s2SpJMnT+r99983h0jPz88vlxcpE6QAAACAG0hCQoIGDx6sOXPmqGnTppKktm3b6r333jOXSUpKUk5OjhlgiluntPqk871K48aNk6enp9zc3DRq1CizLD4+XqNGjZKvr6+k8+EmJydHS5YsUbt27TR+/HgtWrRIP/74o5599ll5eXnpyy+/NHukCp04cUKjR492aE/Lli3VuHFjBQQESJIOHjyov/3tb6pataokyc/Pr1xeDkyQqogu6r4EAFgTufOks5sAVEhW30eE609WVpZCQ0MVFhamPn36KCMjQ5LUqVMnpaWlafHixRo6dKgiIyPVrVs3ubq6lriOj4+PsrOzSyx7+OGH9fDDDxfbjtJG7bvQiRMn1L59e7MX6uIeqfHjxzssn5SUpM2bNzv0pGVkZOjnn382e6Ty8vL0ww8/KCwszMKRs44gBQAAAFhQkQPp2rVrFRcXp7i4OC1YsMCcn5iYqPnz52vQoEEaO3as7Ha7vv/++0uus3v37hLL6tevX2I77Ha7+T6okhw+fFirVq3SSy+9pEaNGpmjCBbKzs7WsWPHzFECJalWrVr66quvdNNNN5m377Vq1UofffSRGjduLEnKzMyUq6vrJY7UlSNIAQAAADeIsLCwEm9rq1+/vg4cOKDo6Gh16NBB1atXL9M6l3ObXFZWlnJzc0tdplq1apo9e7Yef/xxc50L/fOf/9TatWv12WefSZJ27typ4cOHq3Llyg4DUBw7dkzDhg2Tl5eXOS87O1u9evXSCy+8YLntZWUzyuMGwgouPT1d/v7+SktLk5+fn7Obw619AHCFuLUPKF5F7kmpaLKzs5WYmKgGDRo4XKCj/Jw9e1be3t7XpHeptO+3rNmAHikAAAAAFU7lypWd3YRS8R4pAAAAALCIIAUAAAAAFhGkAAAAAMAighQAAAAAWESQAgAAAHDF/mqDgTNqHwAAAIArcurUKTVv3lyzZ89W3759y7ROVFSUjh49qhkzZkiSTp8+rcDAQB09elS33XabUlNTzXdLVapUyVxv4MCB2r17t2rUqFGkTsMw9OOPP17yZcBXAz1SAAAAgBU2W/lOFq1cuVLBwcFyc3PTnXfeqbi4OElSTEyM2rZtqypVqmjs2LEOPUglrVPo1KlTatCggZKSkordZmRkpLy9vfXAAw8UKTMMQ7m5ucrLyzPnnTt3TtOnT1fr1q3NsrvvvlsrV66Ut7e3PD09JUnz5s1Tjx49HOqrVKmSCgoKlJ+fX2Sy2+3l9t4vghQAAABwgzh06JDCw8MVGRmp5ORkBQUFafjw4crJyVHv3r3Vpk0bRUdHKzY2VosWLSp1nUIpKSkKDQ0tMUTt3btX77zzjnx8fNSuXTu1atVKlSpVUkhIiFq1aqUWLVqoefPmevfdd811HnvsMZ07d04RERGqXr26Vq5cqWnTpunJJ580e5NSU1M1bdo0TZ482WF7drtdgwYNUlRUVJFp2rRpys/Pv7oHtQTc2gcAAADcIOLi4jRlyhT1799f0vnA0rNnT61evVppaWl688035e3trSlTpmj06NEKDw8vcZ1CAwYM0IABA7Rt27Yi2zt37pwGDhyogQMHmsFMklq1aqWoqCh169atyDqfffaZvv/+e8XHx6tOnTrm/Pz8fK1YsUK5ublmb9nChQvVvn17h/UfeOAB/frrr1q1alWxx2DcuHFlPFpXhiAFAAAA3CBCQ0MdPsfHxyskJER79uxRu3bt5O3tLUlq0aKFYmNjS12n0Pz58xUcHKynnnrKYbm8vDw99NBDysvL08yZM4ttT0FBgex2u3Jzc+Xj4yNJeuihhxQfH6+77rpLLi4uysrK0tGjR/Xpp58qIiJCzZs312233aaHH35YBw8e1IABAxQZGan//Oc/Wr58ufz8/My6imO329W6dWs1adJES5cuLduBuwwEKQAAAOAGlJubq6ioKEVERCghIUENGjQwy2w2m1xdXZWamqoqVaoUu06h4ODgYut3c3NTRESE6tatq9atW8vFxcUMavHx8Ro5cqR8fHxkt9sVEBCgLVu2mNseN26catasqa1bt+qdd96Rq6urPD09dffdd2vZsmXmNiZMmGA+L/Xiiy/qxRdf1Oeff67jx4+Xuu/h4eGlhq2rgWekAAAAgBvQpEmT5OvrqxEjRsjNzc0MJIW8vLyUmZlZ4jqXYrPZ1KNHDzVt2lReXl5avHixdu/erd27d+vWW2/VvHnztHfvXv32229miCr0+eefa+fOnUpMTNQXX3yhn3/+WS4uLlqzZo2aN29uTv/9739lu2jAjdmzZys5OVl16tRRnTp19MYbb8hms5mfn376aWVnZ1/mUSs7eqQAAACAG8z69es1d+5cbdu2Te7u7goMDFRMTIzDMmfPnpWHh0eJ61xKQUGBDMOQq6urXFwu3T9jt9vl4uIim82mw4cPKyUlRWfPnlViYqICAwMlST179izSI3UxFxcXrVy5Ups3b5YknTx5Uu+//745RHp+fn6Z2nOlCFIAAADADSQhIUGDBw/WnDlz1LRpU0lS27Zt9d5775nLJCUlKScnxwwwxa1zKZ9//rnGjRsnT09Pubm5adSoUWZZfHy8Ro0aJV9fX0nnw01OTo6WLFmidu3aafz48Vq0aJF+/PFHPfvss/Ly8tKXX35p9kgVOnHihEaPHu2w3ZYtW6px48YKCAiQJB08eFB/+9vfVLVqVUmSn59fubwcmCAFAAAA3CCysrIUGhqqsLAw9enTRxkZGZKkTp06KS0tTYsXL9bQoUMVGRmpbt26ydXVtcR1fHx8itxWd6GHH35YDz/8cLFlpY3ad6ETJ06offv2Zi/UxT1S48ePd1g+KSlJmzdvduhJy8jI0M8//2z2SOXl5emHH35QWFhYqdu+UgQpAAAAwIpy6O24XGvXrlVcXJzi4uK0YMECc35iYqLmz5+vQYMGaezYsbLb7fr+++8vuU79+vUvqx12u918H1RJDh8+rFWrVumll15So0aNzFEEC2VnZ+vYsWMOIwjWqlVLX331lW666Sbz9r1WrVrpo48+UuPGjSVJmZmZcnV1vax2W0GQAgAAAG4QYWFhJd7WVr9+fR04cEDR0dHq0KGDqlevfsl1LmTldrmsrCzl5uaWuky1atU0e/ZsPf744+Y6F/rnP/+ptWvX6rPPPpMk7dy5U8OHD1flypUdesqOHTumYcOGycvLy5yXnZ2tXr166YUXXihzm62yGeVxA2EFl56eLn9/f6WlpcnPz8/ZzZFK6UIFAFxa5M6Tzm4CUCFNaF3N2U24bmRnZysxMVENGjRwuEBH+Tl79qy8vb2vSe9Sad9vWbMBPVIAAAAAKpzKlSs7uwml4j1SAAAAAGARQQoAAAAoAU/B3JiuxvdKkAIAAAAuUvhC2szMTCe3BNdC4fdalhcPl4RnpAAAAICLuLq6KiAgQH/++ackydvbu9R3KuH6YBiGMjMz9eeffyogIOCKBrIgSAEAAADFqFmzpiSZYQo3joCAAPP7vVxOD1KGYcgwDPOFWlatXbtWVatW1R133HGVWwYAAHBjOnXqlO644w5t3LjRfOHqypUrFRERod9//11t2rTRokWL1KRJk1LXkaQxY8Zo1qxZ5udbbrlFBw8eLK9duaZsNptuvvlm3XTTTcrLy3N2c3CVuLu7X5Uh1Z0epL755hs999xz2rx5s/z9/TVo0CDVqVNH06dPl3R+jPfSxu6fPXu2OnXqVC5BqqQfmJiYGIWHh+vgwYMaPny4pk+fXqTrd8KECfrtt9/09ddfF6m3tDIAAICrKSUlRb1791ZSUpI579ChQwoPD9fcuXPVpUsXjRkzRsOHD9eWLVtKXKfQjh079M0336hDhw6SdE3e+eNsrq6uN+R+4co4dbCJ3NxcjR8/Xg8++KD8/f0lnU+IAQEBkqQ1a9YoODhY0dHR2rx5s6pWrarg4GA1bdpUzZs3V/PmzbV+/XrNnj3b/Ny8eXM1bNhQrVq1uqptLfyBiYyMVHJysoKCgjR8+HDl5OSod+/eatOmjaKjoxUbG6tFixY5rBsTE6N3331XM2bMKFJvaWUAAABX24ABAzRgwACHeXFxcZoyZYr69++vGjVq6LHHHlN0dHSp60hSfn6+YmJi1LlzZwUEBCggIKDCv/sHuFpshhPHdAwPD9eiRYuUmJhodhEPGzZMrq6uSk9P1/79+/XSSy/pwQcflGEYKigokJvb/3WiZWdny9/fX8nJyapW7fLf1F2WtxevWrVKR48e1ahRoyRJGzduVM+ePbV8+XI98sgjOnr0qLy9vbVnzx6NHj1aP/74o6Tzty7edddduvfee/Wf//zHoc4Sy3iQEQCuSOTOk85uAlAhTWhdTQkJCQoODpbNZnO4BrvQ3LlzNXPmTP3222+SVOI6O3fuVJcuXVSjRg0lJyerS5cumj9/vurVq1eOewVcXWXJBpKTeqTsdrtGjRqlXbt2mbft5eXladWqVdq+fbs2btyosLAw7dq1S3379pXNZpOLi4u6devm0PPUokUL5efn6+6773aY37x5c61evfqqtjk0NNQMUZIUHx+vkJAQ7dmzR+3atZO3t7ckqUWLFoqNjTWXW7BggXbv3q0GDRpo1apVDvfXllYGAABwLQQHB5danpubq6ioKD3++OOXXCcuLk7NmjXTxx9/rNjYWLm7u2vkyJFXtb1AReWUZ6QOHz6sXbt2aeXKlWrWrJkk6ZFHHtHJkycVEBCgPn36aPDgwebyO3bsUJs2bXT48GHNnDlToaGhWr9+vZo3b66bb75ZkrR69Wp1795drq6uuuOOO1RQUFDi9nNycpSTk2N+Tk9Pt9T+wh+YiIgIJSQkqEGDBmaZzWaTq6urUlNT5e7urkmTJqlhw4Y6evSolixZotdee00bN25Ufn5+iWUlPxEGAABwbU2aNEm+vr4aMWLEJZcdPHiwwzXbrFmzFBwcrPT09FL/kg/cCJzSIxUcHKzt27crKChIBQUFKigo0AcffKA1a9aoSZMmSkpKMt82fOzYMbVv314bN26Uj4+PWccPP/xg/gPfv3+/+vXrp7i4OLPc09OzxO1PnTpV/v7+5lS3bl1L7b/wB8bNza3Itry8vJSZmakVK1bo3Llz2rBhg1544QWtW7dOZ86c0eLFi0stAwAAcIb169dr7ty5Wrp06WW9qDQgIEAFBQU6fvz4NWgdULE4dbAJSapdu7bsdrtcXFw0Z84cBQcH6+uvv1b16tVVrVo1tWzZUj179lSXLl3M56PS0tIUERGh9u3byzAMTZ8+Xf/+97/VqFEj2e32S25z4sSJSktLM6cjR46Uub0X/8AEBgbq5EnHe/HPnj0rDw8PHT16VHfeeacCAwMlSW5ubmrRooUSExNLLQMAAChvCQkJGjx4sObMmaOmTZuWaZ2nn35an3zyifn5l19+kYuLi+U/UgPXI6fc2pefn6/8/Hx5eXnpwIED5vwPP/xQL730kiZNmmTOKygoUHZ2tsNw4lFRUfr888/l4uKiqVOnKiAgQP7+/vrss8+0bNmyS27f09Oz1B6rkhT3A9O2bVu999575jJJSUnKyclRYGCg6tatq6ysLIc6Dh8+rK5du8rHx6fEMgAAgPKUlZWl0NBQhYWFqU+fPsrIyJAk+fj4FHmly4VatWql559/XjVr1lR+fr7GjBmjYcOGmc+OAzcyp/RIrVmzRt7e3vLy8nKYtm7dqtDQ0CLzfXx8dOrUKXP9J554Qnv37lVMTIw6duyoqVOnKiYmRgcOHFDLli2vSZuL+4HJyMhQp06dlJaWZt6SFxkZqW7dusnV1VW9evVSXFyc5s6dq6NHj+qdd97R7t271bNnz1LLAAAAytPatWsVFxenBQsWqHLlyuZ0+PDhUtcbOnSo+vXrpz59+mjYsGHq3r273nnnnXJqNeBcThn+vHCTF/+Fo2PHjnrllVfUrVs3h/l2u12urq667bbb9PLLL2vMmDFyd3eXzWbTiRMn5OvrKx8fHxUUFOjhhx/W999/bwaasijLEIdffvmlHnzwwSLzExMTtXv3bg0aNEiVK1eW3W7X999/bw6isW3bNj3zzDPatWuXatasqTfffFNhYWGllzH8OQBcEYY/B4o3ofXlvy4G+Kso6/DnTrm1r6Qu4sJ3RV2s8E3SmZmZ8vT01LFjx8yynj17asiQIRoyZIg574477rjKLZbCwsJUUuasX7++Dhw4oOjoaHXo0EHVq1c3y9q1a2e+FfxipZUBAAAAqLicEqRKkpeX5zAs+cUyMzOLzMvOzjbXyc3N1Ycffqhz586patWq16ydxaldu7Zq165drtsEAAAA4BxOubXvatq3b5+qVq1q9gLl5eVZHq6zrN135YZb+wDginBrH1A8bu0DLq1C39p3NTVu3Njh8+W88wAAAAAArHD6e6QAAAAA4HpDkAIAAAAAiwhSAAAAAGARQQoAAAAALCJIAQAAAIBFBCkAAAAAsIggBQAAAAAWEaQAAAAAwCKCFAAAAABYRJACAAAAAIsIUgAAAABgEUEKAAAAACwiSAEAAACARQQpAAAAALCIIAUAAAAAFhGkAAAAAMAighQAAAAAWESQAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEUEKQAAAACwiCAFAAAAABYRpAAAAADAIoIUAAAAAFhEkAIAAAAAi9yc3QAUwzCc3QIAuK5NcHYDAAA3PHqkAAAAAMAighQAAAAAWESQAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEUEKQAAAACwiCAFAAAAABYRpAAAAADAIoIUAAAAAFhEkAIAAAAAiwhSAAAAAGARQQoAAAAALCJIAQAAAIBFBCkAAAAAsIggBQAAAAAWuTm7AcB1xWZzdgsAlEHkzpPObgIAXHMTWldzdhP+0uiRAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEUEKQAAAACwiCAFAAAAABYRpAAAAADAIoIUAAAAAFhEkAIAAAAAiwhSAAAAAGARQQoAAAAALCJIAQAAAIBFBCkAAAAAsIggBQAAAAAWEaQAAAAAwCKCFAAAAABYRJACAAAAAIsIUgAAAABgEUEKAAAAACwiSAEAAACARQQpAAAAALCIIAUAAAAAFhGkAAAAAMAighQAAAAAWESQAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEVOD1KGYaigoMDZzcBf0KlTp/TTTz8pJSXF2U0BAADAdcbpQeqbb75Rq1atlJaWJkkaNGiQxo0bZ5ZnZ2cXu97MmTM1YMAASdLHH3+se+6559o3FhXWqVOn1KBBAyUlJRVb3rNnTy1atMj8vGzZMoWEhGj06NGqV6+eli1bVmSdCRMmqHfv3teoxQAAAFdHcddBCxcuVPPmzRUQEKCBAwc6/OF45cqVCg4Olpubm+68807FxcWVqQyOnBqkcnNzNX78eD344IPy9/eXJLm7uysgIECStGbNGgUHBys6OrrIuu7u7vLy8pIkVapUSR4eHuXWblQsKSkpCg0NLTFEffTRR1q7dq35+cyZMxozZow2b96sXbt2ad68eRo/frzDOjExMXr33Xc1Y8aMa9hyAACAK1PcddC3336rJ554Qm+99Zb27Nmj9PR0Pfjgg5KkQ4cOKTw8XJGRkUpOTlZQUJCGDx9+yTIU5ebMjY8cOVKxsbEKDw8359lsNh06dEgPP/yw9u/fr1mzZqlNmzaW6j137pxcXFxUqVKlq91kVEADBgzQgAEDtG3btiJlp0+f1jPPPKNbb73VnHf27FnNmDFDzZs3lyS1bNlSqampZrlhGBo5cqSeeuop3XLLLdd+BwAAAC5TcddBixcv1vDhw3XfffdJkl5//XU1a9ZMp06dUlxcnKZMmaL+/ftLkh577DH17NlTkkotQ1FO6ZGy2+0aNWqUdu3aZfYq5eXladWqVdq+fbs2btyosLAw7dq1S3379pXNZpMk5eTkyDCMUuuOjY1V27Zt9cwzz1zz/UDFMH/+fD355JPFlj3zzDN68MEH1a5dO3Ne3bp1NXjwYEnnz7uoqCj17dvXLF+wYIF2796tBg0aaNWqVcrLy7u2OwAAAHCZirsOSklJUb169czPrq6ukiQ3NzeFhoZq1KhRZll8fLxCQkIkqdQyFOWUIHX48GHt2rVLK1euNL/YRx55RLNmzVJAQIBGjBihwYMHy8XlfPN27NghSerYsaOqVq2qatWq6dlnn3WoMz09XREREeratasGDx6s6dOnl7j9nJwcpaenO0y4fgUHBxc7f+PGjfruu+80bdq0Ysv37NmjGjVqaN26deYtfBkZGZo0aZIaNmyoo0eP6s0331Tnzp1LfFYPAADAmYq7DmrVqpW++uorswNi4cKF+tvf/mY+SlMoNzdXUVFRevzxx4vUUVoZznNKkAoODtb27dsVFBSkgoICFRQU6IMPPtCaNWvUpEkTJSUlmV/8sWPH1L59e23cuFHR0dE6ffq0UlJSFBUV5VBnTEyM/P39FR8fr+eff16+vr4lbn/q1Kny9/c3p7p1617T/UX5y87O1siRIzVnzhz5+fkVu0yLFi303XffqVmzZubtpStWrNC5c+e0YcMGvfDCC1q3bp3OnDmjxYsXl2fzAQAALtuzzz6r3NxctWnTRh06dNC0adP073//u8hykyZNkq+vr0aMGGGpDOc59RkpSapdu7bsdrtcXFw0Z84cBQcHa86cOfrss88knX9mqmfPnurSpUup9XTo0EEvv/xymbY5ceJEPf300+bn9PR0wtQNZvLkyWrbtq169epV4jI2m02tW7fWokWLFBQUpNTUVB09elR33nmnAgMDJZ3vAm/RooUSExPLq+kAAABXJDAwUFu2bNHBgwcVFRWl1NRUDRo0yGGZ9evXa+7cudq2bZvc3d3LXIb/45QglZ+fr/z8fHl5eenAgQPm/A8//FAvvfSSJk2aZM4rKChQdna2+ZzU1eDp6SlPT8+rVh8qnqVLl+rkyZPmCJCZmZn65JNP9PPPP6tfv35avXq1Xn/9dUnnw5Ikubi4qG7dusrKynKo6/Dhw+ratWu5th8AAOBK1apVSytWrND8+fPNx2kkKSEhQYMHD9acOXPUtGlTh3VKK4MjpwSpNWvW6O9//3uRIctzc3MVGhpqPhslnQ9SeXl5OnnypKpVq1beTcV1avPmzcrPzzc/P/vss2rXrp2GDRum3NxchYWFqWHDhrr//vs1adIkde/eXf7+/urVq5fGjBmjuXPnKjQ0VCtWrNDu3bsZsQYAAFx3Zs6cqcaNGyssLMycl5WVpdDQUIWFhalPnz7KyMiQJPn4+Cg7O7vEsqvZqXGjcMozUr169ZLdbld2drbD1L59e/3vf/9zmJebm6v8/HxVq1ZNSUlJ+vjjjzVixAi99tprJdZfUFCg5cuXM0DAX1idOnVUv359c/L19VW1atVUrVo11apVS59++qlmzJihZs2aKTMzU0uWLJF0vit8zZo1WrJkiRo1aqQZM2Zo2bJlql+/vnN3CAAAwIIzZ85o+vTpeuONNxzmr127VnFxcVqwYIEqV65sTocPHy61DEU5pUeqpERrGIYKCgqKzHd1ddXWrVvVuXNn3XffferVq5cCAwN1/PhxSedv1Tt48KDS0tLk7++vjRs36p///KcSExNVu3bta7ovqDhKGxp/0aJFDp979Oih2NjYYpdt166dtmzZcjWbBgAAcE1dfB0UEBCgU6dOFVkuLCysxGum+vXrX/JVQ/g/Th9s4kJ5eXnKyckptqx9+/ZKTk7WTTfdJEl66623zAEAOnbsqJtvvlkhISEyDEPu7u6aMmUKIQoAAADANWEziJ1KT0+Xv7+/0tLSShwqG5AkcX8wcF2I3HnS2U0AgGtuQmvGD7gWypoNnPKMFAAAAABczwhSAAAAAGARQQoAAAAALCJIAQAAAIBFBCkAAAAAsIggBQAAAAAWEaQAAAAAwCKCFAAAAABYRJACAAAAAIsIUgAAAABgEUEKAAAAACwiSAEAAACARQQpAAAAALCIIAUAAAAAFhGkAAAAAMAighQAAAAAWESQAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEUEKQAAAACwiCAFAAAAABYRpAAAAADAIoIUAAAAAFhEkAIAAAAAiwhSAAAAAGARQQoAAAAALHJzdgOA64phOLsFAMpggrMbAAC44dEjBQAAAAAWEaQAAAAAwCKCFAAAAABYRJACAAAAAIsIUgAAAABgEUEKAAAAACwiSAEAAACARQQpAAAAALCIIAUAAAAAFhGkAAAAAMAighQAAAAAWESQAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEUEKQAAAACwiCAFAAAAABa5ObsBQLmz2ZzdAgDXWOTOk85uAgBcFya0rubsJly36JECAAAAAIsIUgAAAABgEUEKAAAAACwiSAEAAACARQQpAAAAALCIIAUAAAAAFhGkAAAAAMAighQAAAAAWESQAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEUEKQAAAACwiCAFAAAAABYRpAAAAADAIoIUAAAAAFhEkAIAAAAAiwhSAAAAAGARQQoAAAAALCJIAQAAAIBFBCkAAAAAsIggBQAAAAAWEaQAAAAAwKJrEqQOHjx4LaoFAAAAgArBUpAqKChQSkqKOnfuLEnau3evsrOzHZbJy8vToEGD1KZNG/3xxx9Xr6UAAAAAUEGUOUgVFBSoW7duWr58uX799VdJUp8+fRQQEKDOnTvrlVde0Y4dO+Tu7q7XX39dcXFxysjIuGYNBwAAAABncSvrgi4uLpoyZYratWunV155RZKUmJio06dPa9++ffrss8/UvXt3eXp6Ki8vT19++aVCQkKuWcMBAAAAwFnKHKSys7M1depU+fj4KC0tTffee6/S09OVnp6u48ePq2rVqrr77rvVpk0bLViwQD///LO6d+9+LdsO6NSpU4qPj1ejRo1UrVo1ZzcHAAAAfxFlvrUvKytLd911l0JDQ+Xt7a3Jkyfr5Zdf1uLFi7Vr1y5t3LhRUVFR+ve//63//e9/+vTTTxUVFVXmhtjtdv3000+XtRO4MZw6dUoNGjRQUlKSOW/MmDGy2WzmdGEv57JlyxQSEqLRo0erXr16WrZs2SXrAwAAAK6GMgepKlWqaOzYsRo0aJDc3d3VoUMHTZgwQeHh4erdu7fuv/9+hYWF6cSJExo+fLg+//xz3XfffWVuyDfffKNevXrpxIkTZVp+5syZGjBggCTp448/1j333FPmbaHiSUlJUWhoaJHQs2PHDn3zzTdKTU1Vamqqdu3aJUk6c+aMxowZo82bN2vXrl2aN2+exo8ff8n6AAAAUNTKlSsVHBwsNzc33XnnnYqLi5MkxcTEqG3btmYWMAzjkussWrTI4Q/hhdOiRYucsWvXzGUNf37hAYyNjVVsbKzi4uJkGIYaNmyo7Oxsubi4qGXLlmWu89VXX9Urr7yiGjVqlGl5d3d3eXl5SZIqVaokDw8PazuBCmXAgAFmMC6Un5+vmJgYde7cWQEBAQoICFDlypUlSWfPntWMGTPUvHlzSVLLli2Vmppaan0AAAAo6tChQwoPD1dkZKSSk5MVFBSk4cOHKycnR71791abNm0UHR2t2NhYMwyVtI4kDRo0yPwjeGpqqo4cOaJq1aqZI3/fKCwHqdzcXOXl5ZmfO3ToYE6FHnjgAf33v/8ttZ7XXntN/v7+CggIkL+/v3755RdNmjTJvGAOCAiQn5+fKlWqpB9++MFSG8+dO6esrCxrOwanmj9/vp588kmHeXv37pVhGGrVqpUqVaqknj176vfff5ck1a1bV4MHD5Z0fsj9qKgo9e3bt9T6AAAAUFRcXJymTJmi/v37q0aNGnrssccUHR2t1atXKy0tTW+++aZuueUWTZkyxbzGL2kdSfLw8HC4pl+8eLH69u2r4OBgZ+7mVVfmwSYK2e12NWzYUKmpqZo4caJq1aolm80mSUpNTdXBgwd1zz33aOnSpaXWM27cOE2cOFG5ublq0aKFXn/9dQ0fPlyZmZny9fU1l8vKyjJ7m3JycuTh4WFurzixsbHq16+f7r77br377rtWdw9OUtw/rLi4ODVr1kwzZ85UtWrV9MQTT2jkyJFavXq1ucyePXvUtWtXeXh4aN++faXWBwAAgKJCQ0MdPsfHxyskJER79uxRu3bt5O3tLUlq0aKFYmNjS13nYtnZ2Xr77be1ffv2a9R657EcpCpVqqRffvlFX3zxhWJiYjRo0CCz7PDhw+rQoYMSEhLUtWvXUutxd3eXJE2cOFH169fXiBEjFBMTo9tuu02ZmZmqVKmSub1CHTt2VEJCglxcXJSdna1+/fqZZenp6YqIiNDSpUv1xBNPlNobkZOTo5ycHId1UfEMHjzY7HWSpFmzZik4OFjp6eny8/OTdP4f9Hfffadnn31W4eHh+uKLL5zVXAAAgOtebm6uoqKiFBERoYSEBDVo0MAss9lscnV1VWpqqqpUqVLsOhdbunSp2rVrp/r165dH88uVpVv7XFxc5OHhIQ8PDz388MOaPn26+dnDw0MhISE6fvy4lixZcsm6CgoKFBUVpSVLlpj3WhY+8+Tm9n/57sLAEx0drdOnTyslJaXIiIAxMTHy9/dXfHy8nn/+eYderYtNnTpV/v7+5lS3bl0rhwFOEhAQoIKCAh0/ftycZ7PZ1Lp1ay1atEgrV650eE4KAAAA1kyaNEm+vr4aMWKE3Nzc5Onp6VDu5eWlzMzMEte52Ny5czVq1Khr2mZnsRSkcnJylJubq9zcXC1fvlzPPvus+bnw2alNmzZp2rRpys3NLbWugoICvf3223J1dVWnTp0UEhKibt26SZKaNGmikJAQBQUFqU6dOjp9+vQl29ahQwe9/PLLCggIuOSyEydOVFpamjkdOXKkTPuP8vX000/rk08+MT//8ssvcnFxUd26dbVhwwaNHTvWLCsM3y4ulzV+CgAAwF/e+vXrNXfuXC1dulTu7u4KDAzUyZMnHZY5e/aswyBvF69zoYMHD+rgwYPmNf6NxtKtfRcenKZNmyowMLDIMp06ddLLL7+s9PT0Ul+Q6ubmpsOHD8vFxUV2u12urq5KSkpSgwYNtG/fPodeqavN09OzSLpGxdOqVSs9//zzqlmzpvLz8zVmzBgNGzZM3t7eaty4scLCwtSwYUPdf//9mjRpkrp37y5/f39nNxsAAOC6k5CQoMGDB2vOnDlq2rSpJKlt27Z67733zGWSkpKUk5NjZoDi1rnQJ598otDQ0CIB60Zh6c/3/fv3N/+7SZMmRZ6Dys/Pl81m0+DBg9WyZUvl5+eXvnEXFy1YsEC9evUqsuz777+vf/3rX5esAzeuoUOHql+/furTp4+GDRum7t2765133pEk1apVS59++qlmzJihZs2aKTMzs0y3lAIAAMBRVlaWQkNDFRYWpj59+igjI0MZGRnq1KmT0tLStHjxYklSZGSkunXrJldX1xLXufA1SWvWrLnkuAnXM0tBasOGDZLOjxt/ccBJSEhQixYt9PXXX0s6P+zhpXqVNm3apKeeekqDBg0qsuy9996rzZs3q3///uZw60lJSfr44481YsQIvfbaayXWW1BQoOXLlys7O9vK7qECMAzD4WHEqVOnKjU1Vb///rvefvtt+fj4mGU9evRQbGys0tPT9emnn6p69eqXrA8AAACO1q5dq7i4OC1YsECVK1c2p+TkZM2fP1+jRo1SjRo19NlnnykyMrLUdQ4fPizpfDjbvn272rdv78xdu6Ys3T9X+PzJo48+Knd3dy1ZskQ33XSTDh48qLvuukt33HGH7rnnHkkqdYhySfruu+/Ut29fzZ49W0OHDpUknTlzxlw3KChImzZt0l133aUhQ4boqaeeUufOnXXfffepV69eCgwMNAcd8PT01MGDB5WWliZ/f39t3LhR//znP5WYmKjatWtbOiAAAADAX0lYWJhDT9KF6tevrwMHDig6OlodOnQw/3Bd2jrS+ZG3Lxw07kZ0WQ8izZ49WxMnTlSzZs0UGRmpKVOmqEOHDvrkk0/K/GzT7t27FRUVpWHDhkmSRo0apYULF6pTp05ydXWVJNWrV09r167ViRMn1L59eyUnJ+umm26SJL311ltKTEyUdH5Y9JtvvlkhISEyDEPu7u6aMmUKIQoAAAC4QrVr1+a6uhg2o7QoeZGbbrpJf/75p/l5zpw5Gj16tOrXr6/4+HiHB8mCg4OVkJBQ5oYkJiYqLS1NLVu2vGRv1tWWnp4uf39/paWlme8nwg2snM8vAOUvcufJSy8EANCE1iUPDvdXVdZscEVjRf/yyy/moBIvvPDClVSlBg0aqFWrVuUeogAAAADAqsseY/ydd97R+vXr9fPPP8swDPXs2VM2m01Tp069mu0DAAAAgArnsoLUzp07NWHCBK1evVo333yzJGndunW644471LhxY/3rX/8q9eEzAAAAALieXdatfX5+fnr11VfVpUsXc17NmjX15ptvavLkyYQoAAAAADe0y+qRCgkJ0dNPP11kfv/+/dW6dWvZbDaedQIAAABww7IUpM6dO6f//Oc/ZVq28J1QAAAAAHCjsRSk+vfvrxMnTpgv5i1JQUGBwsLCrqRdAAAAAFBhWQpSCxcuvFbtAAAAAIDrxhW9RwoAAAAA/ooIUgAAAABgEUEKAAAAACwiSAEAAACARQQpAAAAALCIIAUAAAAAFhGkAAAAAMAighQAAAAAWESQAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEUEKQAAAACwiCAFAAAAABYRpAAAAADAIoIUAAAAAFhEkAIAAAAAiwhSAAAAAGARQQoAAAAALHJzdgOAcmcYzm4BgGtsgrMbAAC44dEjBQAAAAAWEaQAAAAAwCKCFAAAAABYRJACAAAAAIsIUgAAAABgEUEKAAAAACwiSAEAAACARQQpAAAAALCIIAUAAAAAFhGkAAAAAMAighQAAAAAWESQAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEUEKQAAAACwyM3ZDQBQCpvN2S0ArkuRO086uwkA8JcxoXU1ZzfBKeiRAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEUEKQAAAACwiCAFAAAAABYRpAAAAADAIoIUAAAAAFhEkAIAAAAAiwhSAAAAAGARQQoAAAAALCJIAQAAAIBFBCkAAAAAsIggBQAAAAAWEaQAAAAAwCKCFAAAAABYRJACAAAAAIsIUgAAAABgEUEKAAAAACwiSAEAAACARQQpAAAAALCIIAUAAAAAFhGkAAAAAMAighQAAAAAWESQAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEUEKQAAAABOc+rUKf30009KSUlxdlMscVqQys7Olt1uv+RyBQUFysnJKTJ/5syZGjBggCTp448/1j333HPV2wiU5NSpU2rQoIGSkpLMeStXrlRwcLDc3Nx05513Ki4ursh6EyZMUO/evR3mjRkzRjabzZxCQkKudfMBAACuutKuhYq7dpKkZcuWKSQkRKNHj1a9evW0bNmyMtVXETglSNntdjVu3FhNmzZV8+bN1bx5c3l6eqpJkyYKCQmRr6+vOf+2225T165di9Th7u4uLy8vSVKlSpXk4eFR3ruBv6iUlBSFhoY6/BAcOnRI4eHhioyMVHJysoKCgjR8+HCH9WJiYvTuu+9qxowZDvN37Nihb775RqmpqUpNTdWuXbvKYS8AAACuntKuhYq7dpKkM2fOaMyYMdq8ebN27dqlefPmafz48Zesr6Jwc8ZGXV1dixzIxo0ba/PmzTp69KieffZZffvtt5dd/7lz5+Ti4qJKlSpdYUuBogYMGKABAwZo27Zt5ry4uDhNmTJF/fv3lyQ99thj6tmzp1luGIZGjhypp556Srfccos5Pz8/XzExMercubN8fX3LbycAAACuotKuhYq7dpKks2fPasaMGWrevLkkqWXLlkpNTb1kfRXFdfWMVE5OjgzDKHWZ2NhYtW3bVs8880w5tQp/NfPnz9eTTz7pMC80NFSjRo0yP8fHxzvcordgwQLt3r1bDRo00KpVq5SXlydJ2rt3rwzDUKtWrVSpUiX17NlTv//+e/nsCAAAwFVS2rVQcddOklS3bl0NHjxYkpSXl6eoqCj17dv3kvVVFE7pkSoUFBQk6fxter///rv+9re/KT8/XykpKQoJCVFeXp6qVq2qnTt3SpI6duyohIQEubi4KDs7W/369TPrSk9PV0REhJYuXaonnnii2C+rUE5OjsNzV+np6ddoD3EjCg4OLrU8NzdXUVFRioiIkCRlZGRo0qRJatiwoY4ePaolS5botdde08aNGxUXF6dmzZpp5syZqlatmp544gmNHDlSq1evLo9dAQAAuOouvha61LXTnj171LVrV3l4eGjfvn2XrK+icGqPVKVKlfTdd9/p4MGDCgwM1IEDB/TVV1+pQ4cOOnjwoNauXSt3d3dz+ejoaJ0+fVopKSmKiopyqCsmJkb+/v6Kj4/X888/X+ptUlOnTpW/v7851a1b95rtI/56Jk2aJF9fX40YMUKStGLFCp07d04bNmzQCy+8oHXr1unMmTNavHixBg8erG3btqlt27Zq0KCBZs2apXXr1hHuAQDAdevia6FLadGihb777js1a9ZM4eHhV1xfeXFqj5Sb2/nNHzp0SFWrVpWrq2uRZWw2W5nq6tChg15++eUyLTtx4kQ9/fTT5uf09HTCFK6K9evXa+7cudq2bZv5R4CjR4/qzjvvVGBgoKTz532LFi2UmJhYZP2AgAAVFBTo+PHj8vPzK9e2AwAAXKniroUuxWazqXXr1lq0aJGCgoKUmpqqKlWqXHZ95aVCPCP19ttvm7fpubi46MSJE9qyZUuxXXtXg6enp/z8/Bwm4EolJCRo8ODBmjNnjpo2bWrOr1u3rrKyshyWPXz4sIKCgvT000/rk08+Mef/8ssvcnFxIdgDAIDrTknXQiXZsGGDxo4da34u7GRxcXG5rPrKm1N7pCTp+++/11dffaU9e/ZIOn8PZdWqVTVs2LAi79sBKqqsrCyFhoYqLCxMffr0UUZGhiTJx8dHvXr10pgxYzR37lyFhoZqxYoV2r17t3r27Clvb289//zzqlmzpvLz8zVmzBgNGzZM3t7eTt4jAACAsivtWqikO8waN26ssLAwNWzYUPfff78mTZqk7t27y9/f/7LqK29O75Hq0qWLdu3aJX9/f0mSr6+vNm3apAMHDhS5DzIpKUkff/yxRowYoddee63EOgsKCrR8+XJlZ2df07YDhdauXau4uDgtWLBAlStXNqfDhw8rMDBQa9as0ZIlS9SoUSPNmDFDy5YtU/369TV06FD169dPffr00bBhw9S9e3e98847zt4dAAAAS0q7FipJrVq19Omnn2rGjBlq1qyZMjMztWTJksuur7zZjEuNJ34NNWnSRHa7vcSX6ebm5iogIEA///yztm7dqs6dO+u+++5Tr169dOTIER0/flwffPCBVq9erTFjxmjHjh3y9/fXd999p/vvv1+JiYmqXbv2JduRnp4uf39/paWlcZsfKpYK8hcX4HoTufOks5sAAH8ZE1pXc3YTrqqyZgOn3tqXnZ2t9evXlzgm/L59+zRgwABJUvv27ZWcnKybbrpJkvTWW2+ZD+t37NhRN998s0JCQmQYhtzd3TVlypQyhSgAAAAAsMqpPVLp6eny9fU1HyhzZjvokUKFRI8UcFnokQKA8kOPlBMQWgAAAABcj5w+2AQAAAAAXG8IUgAAAABgEUEKAAAAACwiSAEAAACARQQpAAAAALCIIAUAAAAAFhGkAAAAAMAighQAAAAAWESQAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEUEKQAAAACwiCAFAAAAABYRpAAAAADAIoIUAAAAAFhEkAIAAAAAiwhSAAAAAGARQQoAAAAALCJIAQAAAIBFBCkAAAAAsIggBQAAAAAWEaQAAAAAwCKCFAAAAABYRJACAAAAAIsIUgAAAABgkZuzGwCgFIbh7BYA16UJzm4AAOCGR48UAAAAAFhEkAIAAAAAiwhSAAAAAGARQQoAAAAALCJIAQAAAIBFBCkAAAAAsIggBQAAAAAWEaQAAAAAwCKCFAAAAABYRJACAAAAAIsIUgAAAABgEUEKAAAAACwiSAEAAACARQQpAAAAALCIIAUAAAAAFhGkAAAAAMAighQAAAAAWOTm7AYAuEHYbM5uAWCK3HnS2U0AAFg0oXU1ZzfBEnqkAAAAAMAighQAAAAAWESQAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEUEKQAAAACwiCAFAAAAABYRpAAAAADAIoIUAAAAAFhEkAIAAAAAiwhSAAAAAGARQQoAAAAALCJIAQAAAIBFBCkAAAAAsIggBQAAAAAWEaQAAAAAwCKCFAAAAABYRJACAAAAAIsIUgAAAABgEUEKAAAAACwiSAEAAACARQQpAAAAALCIIAUAAAAAFhGkAAAAAMAighQAAAAAWESQAgAAAACLCFIAAAAArmunTp3STz/9pJSUlHLbptODlGEYKigouKx109LStHfv3qvcIgClccYPFQAA+GtYuXKlgoOD5ebmpjvvvFNxcXGlzpekZcuWKSQkRKNHj1a9evW0bNkys2zJkiWqV6+efH191a1bNyUlJV21tjo9SH3zzTdq1aqV0tLSJEmDBg3SuHHjzPLs7OwS1/3ggw8UFhZW6jLAX92pU6fUoEEDhx+OmJgYtW3bVlWqVNHYsWNlGEaZykr7oQIAALgShw4dUnh4uCIjI5WcnKygoCANHz68xPmSdObMGY0ZM0abN2/Wrl27NG/ePI0fP96s7/nnn9eXX36p2NhYBQUFadiwYVetvU4NUrm5uRo/frwefPBB+fv7S5Lc3d0VEBAgSVqzZo2Cg4MVHR1dZN2cnBy9/vrrmjFjhry8vMqz2cB1IyUlRaGhoQ4hKicnR71791abNm0UHR2t2NhYLVq06JJlpf1QAQAAXKm4uDhNmTJF/fv3V40aNfTYY48pOjq6xPmSdPbsWc2YMUPNmzeXJLVs2VKpqamSpF27dqldu3a6/fbbVa9ePYWHh2v//v1Xrb1uV62myzBy5EjFxsYqPDzcnGez2XTo0CE9/PDD2r9/v2bNmqU2bdpIkkaMGKFPPvlEkmS325WRkaGhQ4c61Gm325WXl6f4+HgFBQWV384AFdCAAQM0YMAAbdu2zZy3evVqpaWl6c0335S3t7emTJmi0aNHKzw8vNSy0n6oAAAArlRoaKjD5/j4eIWEhJQ4X5Lq1q2rwYMHS5Ly8vIUFRWlvn37SpKaNm2qDRs2aNeuXQoODtbs2bN13333XbX2OiVI2e12jR49Wrt27TJ7k/Ly8rR27Vpt375dOTk5mjx5sgYOHCgXl//rNJs1a5bmzZunlJQUNWnSRJ999pm6deum7Oxs+fj4SDr/zFVWVpYqVarkjF0DKpT58+crODhYTz31lDlvz549ateunby9vSVJLVq0UGxs7CXLSvuhAgAAuJpyc3MVFRWliIiIMs3fs2ePunbtKg8PD+3bt0/S+SDVr18/3X777ZKkBg0aaPv27VetjU65te/w4cPatWuXVq5cKVdXV0nSI488olmzZikgIEAjRozQ4MGDzRC1Y8cOSZKHh4dsNptGjhypBx98UD169NDq1asVHBxs1m2z2eTt7S2bzVbi9nNycpSenu4wATeiC/9tFEpPT1eDBg3MzzabTa6urkpNTS21rNCePXtUo0YNrVu3TjNmzLim7QcAAH9NkyZNkq+vr0aMGFGm+S1atNB3332nZs2amXe7bdu2TV9//bW2b9+us2fPauDAgXrggQccnv++Ek4JUsHBwdq+fbuCgoJUUFCggoICffDBB1qzZo2aNGmipKQkcwePHTum9u3ba+PGjcrNzVVERIT27t2rt956S5Lk5eUlN7f/61gzDEM5OTmlbn/q1Kny9/c3p7p16167nQUqGDc3N3l6ejrM8/LyUmZmZqllhYr7oQIAALha1q9fr7lz52rp0qVyd3e/5Hzp/B9/W7durUWLFmnlypVKTU3V8uXLNWDAAP3tb3+Tr6+vXn31VSUkJGjPnj1XpZ1OH7Wvdu3astvtcnFx0Zw5cxQcHKyvv/5a1atXV7Vq1dSyZUv17NlTXbp00blz5/Tee+8pMzNTrVq1UkhIiP71r3/pxIkTCgkJUUhIiIKCgnTrrbeWus2JEycqLS3NnI4cOVJOews4X2BgoE6ePOkw7+zZs/Lw8Ci1rFBxP1QAAABXQ0JCggYPHqw5c+aoadOml5y/YcMGjR071vxc2MHi4uKi/Px8nThxwiw7e/aszp07J7vdflXa6pRnpPLz85Wfny8vLy8dOHDAnP/hhx/qpZde0qRJk8x5BQUFys7Ols1mU5UqVZSWlibDMMxbAjdt2qQhQ4bo4MGDZd6+p6dnkb+6A38Vbdu21XvvvWd+TkpKUk5OjgIDA0st27Bhg1avXq3XX39dkuMPFQAAwJXKyspSaGiowsLC1KdPH2VkZEiSXF1di53v4+Ojxo0bKywsTA0bNtT999+vSZMmqXv37vL391fHjh31yCOP6K233lKNGjX03nvvqUaNGmrRosVVaa9TroDWrFkjb29veXl5OUxbt25VaGhokfk+Pj46derU+Qa7uOjFF180x46/0Isvvqjnn3++vHcHuK507txZaWlpWrx4sSQpMjJS3bp1k6ura6lljRs31rx58zR//nwdOXJEEyZMMH+oAAAArtTatWsVFxenBQsWqHLlyuY0b968YucfPnxYtWrV0qeffqoZM2aoWbNmyszM1JIlSyRJ//jHPzR+/HjNmDFDw4YN05kzZ7RixYoitwVeLptxtZ62sqBwkxcPCNGxY0e98sor6tatm8N8u91u9kB9/PHHGj58uL788kvdd999Zo/U0aNHtWvXLt13330aNGiQ3nnnnTK3Jz09Xf7+/kpLS5Ofn98V7h1Q8dhsNiUmJqp+/fqSpC+//FKDBg1S5cqVZbfb9f3336tZs2aXLFu7dq0iIiJ09OhR9ejRQ++++66qV69euBFn7BpQrMidJy+9EACgQpnQupqzmyCp7NnAKbf2lTSinmEYKigoKDK/MER99NFHGjVqlL744gtzDPgzZ86Y9bVu3Vrffvut7r77blWqVEnTpk27RnsAXF8u/ntJWFiYDhw4oOjoaHXo0OH/wtAlynr06GEOhw4AAPBX5tQX8l4sLy+v1BH3duzYoWXLlql79+6SpAceeEDr16/XwIEDzWVatWqlr7/+WgEBAde6ucB1rXbt2qpdu7blMgAAADjp1r6rJTY2Vi4uLmrcuPEV1cOtfcBVwK19qEC4tQ8Arj/c2leOLhz6EAAAAADKC+MWAwAAAIBFBCkAAAAAsIggBQAAAAAWEaQAAAAAwCKCFAAAAABYRJACAAAAAIsIUgAAAABgEUEKAAAAACwiSAEAAACARQQpAAAAALCIIAUAAAAAFhGkAAAAAMAighQAAAAAWESQAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEUEKQAAAACwiCAFAAAAABYRpAAAAADAIoIUAAAAAFhEkAIAAAAAiwhSAAAAAGARQQoAAAAALCJIAQAAAIBFBCkAAAAAsMjN2Q0AcIMwDGe3ADBNcHYDAAA3PHqkAAAAAMAighQAAAAAWESQAgAAAACLCFIAAAAAYBFBCgAAAAAsIkgBAAAAgEUEKQAAAACwiCAFAAAAABYRpAAAAADAIoIUAAAAAFhEkAIAAAAAiwhSAAAAAGARQQoAAAAALCJIAQAAAIBFBCkAAAAAsIggBQAAAAAWEaQAAAAAwCKCFAAAAABYRJACAAAAAIvcnN2AisAwDElSenq6k1sCAAAAwJkKM0FhRigJQUrS2bNnJUl169Z1cksAAAAAVARnz56Vv79/ieU241JR6y+goKBAx44dU+XKlWWz2ZzdnDJLT09X3bp1deTIEfn5+Tm7OfiL43xERcG5iIqE8xEVCedj2RiGobNnz6pWrVpycSn5SSh6pCS5uLioTp06zm7GZfPz8+MfAyoMzkdUFJyLqEg4H1GRcD5eWmk9UYUYbAIAAAAALCJIAQAAAIBFBKnrmKenp1566SV5eno6uykA5yMqDM5FVCScj6hIOB+vLgabAAAAAACL6JECAAAAAIsIUgAAAABgEUEKAAAAACwiSAEAAACARQSpCmrlypUKDg6Wm5ub7rzzTsXFxZllMTExatu2rapUqaKxY8fqwvFCLrcMKM2pU6fUoEEDJSUlOcznXERFw7mF8lDcbyK/h3CGkq4XOR/LB0GqAjp06JDCw8MVGRmp5ORkBQUFafjw4ZKknJwc9e7dW23atFF0dLRiY2O1aNGiKyoDSpOSkqLQ0NAiIYpzERUN5xbKQ3G/ifwewhlKul7kfCxHBiqcr7/+2pgzZ475ecOGDYaHh4dhGIbxxRdfGFWqVDHOnTtnGIZh7N692+jYseMVlQGluffee40ZM2YYkozExERzPuciKhrOLZSH4n4T+T2EM5R0vcj5WH7cnB3kUFRoaKjD5/j4eIWEhEiS9uzZo3bt2snb21uS1KJFC8XGxl5RGVCa+fPnKzg4WE899ZTDfM5FVDScWygPxf0m8nsIZyjpepHzsfxwa58ThYWFKSAgoMg0a9Ysc5nc3FxFRUXp8ccflySlp6erQYMGZrnNZpOrq6tSU1Mvuwwo7VwMDg4udh3ORVQ0nFsoD8X9JvJ7CGe78HqR87H80CPlRPPmzVNWVlaR+YGBgeZ/T5o0Sb6+vhoxYoQkyc3NTZ6eng7Le3l5KTMz87LLqlSpcrV2CdepspyLF+NcREXDuQVn4fcQznbh9eKkSZM4H8sJQcqJatSoUWr5+vXrNXfuXG3btk3u7u6Szl/YxsTEOCx39uxZeXh4XHYZcKlzsTici6hoOLfgLPwewpkuvl7kfCw/3NpXQSUkJGjw4MGaM2eOmjZtas5v27attm3bZn5OSkpSTk6OAgMDL7sMuByci6hoOLfgLPwewlmKu17kfCw/BKkKKCsrS6GhoQoLC1OfPn2UkZGhjIwMGYahzp07Ky0tTYsXL5YkRUZGqlu3bnJ1db3sMuBycC6iouHcgrPwewhnKOl6sVOnTpyP5cXZwwaiqC+++MKQVGS6cJjVSpUqGTfddJNRtWpVIyYmxmHdyykDLkUXDX9uGJyLqHg4t1BeLv5N5PcQ5a2060XOx/JhMwxeWXw9Sk5OVnR0tDp06KDq1atflTLgcnAuoqLh3IKz8HuIioTz8dojSAEAAACARTwjBQAAAAAWEaQAAAAAwCKCFAAAAABYRJACAAAAAIvcnN0AAACupeXLl+vzzz/XsmXL5OLiorS0NPn6+srV1VXu7u5KSUmRn5+f0tLSFBAQIEmaOHGili1bpqCgoGLr3Lp1qw4cOKB69eqV454AACoSeqQAADcswzA0efJkNWvWTHa7Xbm5uRoyZIhmzZolSapUqZI8PT21cuVK3XHHHcrNzTXnFxQUKD8/v9ipcBkAwF8Xw58DAG5YL7zwgl5//XV5e3vLbrfrxRdfVI8ePdSpUycdPHhQt9xyi37//Xd17NhRY8eO1dChQyVJL730kk6cOKFhw4YVW+/f//537dmzRzfffHM57g0AoCIhSAEAbki//PKLevTooU2bNqlFixbmfLvdrj179qhRo0aqU6eODhw4oOjoaHXp0kXe3t6SpHXr1umHH34otf5nnnlGVapUuab7AACouAhSAIAb1gcffKAXX3xRrq6uys7O1pYtW/THH3+oZ8+eatu2rblccnKyWrZsqe7du+v111+Xn5+ffH19ZbPZiq23oKBAaWlpqly5sjZt2lROewMAqEgIUgCAG1Z+fr42bdqkyMhIff311/L09NTu3bv1+OOPa9u2beZyc+fO1datW/XBBx9IOt8jtX///lLrfuihh7i1DwD+whi1DwBww1q9erV27NihP//8U1988YVq1qypwMBA7d27V82bNzeXS01N1X333Wd+XrZsmWw2m3r37i1Jmjp1qnr27KnWrVtLkv7973+rffv2BCkA+AsjSAEAbljJycn6448/lJWVpcTERNlsNgUGBqpFixZFeqQu/Ozi4qINGzYoPj5eknTw4EF9/vnn+u677yRJp0+flosLA98CwF8ZQQoAcMMaNWqUNm3apIMHD+qZZ56Rl5eXdu/efckeqUaNGsnFxUU33XSTJOnkyZNq0aKFgoODJUnVq1eXl5dX+e4MAKBCIUgBAG54GRkZCg0N1fjx41W9evUiPVJz5szR9u3bJUm5ubn69NNP5eHhodjYWElSSkqK9u7dq99//13S+WevNm7cqCZNmpT/zgAAKgSCFADghnb48GFt375djz76qLp06aLffvvNoTwvL09HjhwxR+hzd3fXl19+qRo1asjN7fz/JsPCwjRq1Cj17NlTkpSVlVW+OwEAqHAIUgCAG1rVqlU1fvx4RUZGSioagp577jnNmjVL7777rk6cOKEePXrIz8/P4RmoQ4cO6bnnnjPrkKTs7Gy1atVKc+fOLZ8dAQBUKAx/DgD4S8vMzJSbm5s8PDyc3RQAwHWEIAUAAAAAFjF2KwAAAABYRJACAAAAAIsIUgAAAABgEUEKAAAAACwiSAEAAACARQQpAAAAALCIIAUAAAAAFhGkAAAAAMCi/w96EqLKhDI9KgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "data = {\n",
    "    '区域': ['华东', '西北', '东北', '华北', '华南'],\n",
    "    '2022年销量': [2238, 2132, 2027, 1922, 1215],\n",
    "    '2021年销量': [1003, 1265, 1531, 1436, 2066]\n",
    "}\n",
    "\n",
    "df = pd.DataFrame(data)\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "plt.barh(df['区域'], df['2022年销量'], color='skyblue', label='2022年销量')\n",
    "\n",
    "plt.barh(df['区域'], -df['2021年销量'], color='red', label='2021年销量')\n",
    "\n",
    "for index, value in enumerate(df['2022年销量']):\n",
    "    plt.text(value, index, str(value), va='center', ha='left')\n",
    "for index, value in enumerate(df['2021年销量']):\n",
    "    plt.text(-value, index, str(value), va='center', ha='right')\n",
    "\n",
    "plt.title('2021年与2022年各区域销量对比')\n",
    "plt.xlabel('销量')\n",
    "plt.ylabel('区域')\n",
    "plt.legend()\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9b80f9f-aa90-4722-89a8-c36e66c8a5f2",
   "metadata": {},
   "source": [
    "## 百分比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a27f1940-f09b-47e0-af15-64344976b938",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "regions = ['华北', '华南', '东北', '西北', '西南', '华东']\n",
    "sales = [4321, 1946, 1536, 1872, 1369, 2109]\n",
    "placeholder1 = [0, 2375, 2785, 2449, 2952, 2212]\n",
    "year_on_year = [-13.6, -20.8, -9.3, -15.9, -17.9, -5.8]\n",
    "\n",
    "last_year_sales = [s / (1 - y / 100) for s, y in zip(sales, year_on_year)]\n",
    "increment = [s - l for s, l in zip(sales, last_year_sales)]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "ax.barh(regions, sales, label='销量', color='skyblue')\n",
    "ax.barh(regions, placeholder1, left=sales, label='占位1', color='orange')\n",
    "ax.barh(regions, increment, left=[s + p for s, p in zip(sales, placeholder1)], label='同比去年变化', color='green')\n",
    "\n",
    "ax.set_xlabel('数量')\n",
    "ax.set_ylabel('区域')\n",
    "ax.set_title('各区域销量、占位1及同比去年变化')\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "ax.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b228a5be-a804-4716-bef4-de1ca94b2229",
   "metadata": {},
   "source": [
    "## 对比图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "80026c00-1640-4527-8b36-777e565d60a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "categories = ['口红', '面膜', '隔离', '防晒', '精华']\n",
    "sales_2021 = [3568, 4135, 4436, 4106, 4936]\n",
    "sales_2022 = [2569, 3241, 2965, 3209, 3541]\n",
    "difference = [999, 894, 1471, 897, 1395]  # 2021与2022的销售差\n",
    "\n",
    "bar_width = 0.25\n",
    "\n",
    "index = np.arange(len(categories))\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "bars1 = ax.bar(index, sales_2021, bar_width, label='2021销量', color='#007bff')\n",
    "bars2 = ax.bar(index + bar_width, sales_2022, bar_width, label='2022销量', color='#add8e6')\n",
    "bars3 = ax.bar(index + 2 * bar_width, difference, bar_width, label='差距', color='yellowgreen')\n",
    "\n",
    "ax.set_xlabel('商品')\n",
    "ax.set_ylabel('销量')\n",
    "ax.set_title('2022年商品对比去年销售情况')\n",
    "ax.set_xticks(index + bar_width)\n",
    "ax.set_xticklabels(categories)\n",
    "ax.legend()\n",
    "\n",
    "for bars in [bars1, bars2, bars3]:\n",
    "    for bar in bars:\n",
    "        height = bar.get_height()\n",
    "        ax.annotate(f'{height}',\n",
    "                    xy=(bar.get_x() + bar.get_width() / 2, height),\n",
    "                    xytext=(0, 3),  # 3 points vertical offset\n",
    "                    textcoords=\"offset points\",\n",
    "                    ha='center', va='bottom')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a0f3b46-8009-401c-9236-2c85aafe69b1",
   "metadata": {},
   "source": [
    "## 甘特图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f5d20f11-b44c-41c9-bddc-ab4344e5dfa5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "from datetime import datetime\n",
    "\n",
    "data = [\n",
    "    ['制定计划', '2022/3/1', 11, 51, 5.61, '2022/3/12'],\n",
    "    ['方案设计', '2022/3/13', 8, 32, 2.56, '2022/3/21'],\n",
    "    ['资源调配', '2022/3/22', 10, 21, 2.1, '2022/4/1'],\n",
    "    ['第一阶段', '2022/4/2', 13, 85, 11.05, '2022/4/15'],\n",
    "    ['第二阶段', '2022/4/16', 24, 36, 8.64, '2022/5/10'],\n",
    "    ['第三阶段', '2022/5/11', 14, 68, 9.52, '2022/5/25'],\n",
    "    ['项目总结', '2022/5/26', 7, 68, 4.76, '2022/6/2']\n",
    "]\n",
    "\n",
    "for item in data:\n",
    "    item[1] = datetime.strptime(item[1], '%Y/%m/%d')\n",
    "    item[5] = datetime.strptime(item[5], '%Y/%m/%d')\n",
    "\n",
    "plt.figure(figsize=(15, 6))\n",
    "\n",
    "for item in data:\n",
    "    plt.barh(item[0], item[5] - item[1], left=item[1], color='skyblue', edgecolor='black')\n",
    "    plt.text(item[1] + (item[5] - item[1]) * item[3] / 100, item[0], f'{item[3]}%', va='center')\n",
    "\n",
    "plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y/%m/%d'))\n",
    "plt.gca().xaxis.set_major_locator(mdates.DayLocator())\n",
    "plt.gcf().autofmt_xdate() # 自动旋转日期标记\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "plt.xlabel('日期')\n",
    "plt.ylabel('项目名称')\n",
    "plt.title('项目甘特图')\n",
    "plt.grid(axis='x')\n",
    "\n",
    "plt.show()"
   ]
  }
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